# Phase 2: Context Gathering Gather project context and analyze codebase via context-search-agent with parallel exploration for TDD planning. ## Objective - Gather project context using context-search-agent - Identify critical files, architecture patterns, and constraints - Detect conflict risk level for Phase 4 decision - Update planning-notes.md with findings ## Core Philosophy - **Agent Delegation**: Delegate all discovery to `context-search-agent` for autonomous execution - **Detection-First**: Check for existing context-package before executing - **Plan Mode**: Full comprehensive analysis (vs lightweight brainstorm mode) - **Standardized Output**: Generate `.workflow/active/{session}/.process/context-package.json` ## Execution ### Step 2.1: Context-Package Detection **Execute First** - Check if valid package already exists: ```javascript const contextPackagePath = `.workflow/active/${sessionId}/.process/context-package.json`; if (file_exists(contextPackagePath)) { const existing = Read(contextPackagePath); // Validate package belongs to current session if (existing?.metadata?.session_id === sessionId) { console.log("Valid context-package found for session:", sessionId); console.log("Stats:", existing.statistics); console.log("Conflict Risk:", existing.conflict_detection.risk_level); // Skip execution, store variables and proceed to Step 2.5 contextPath = contextPackagePath; conflictRisk = existing.conflict_detection.risk_level; return; // Early exit - skip Steps 2.2-2.4 } } ``` ### Step 2.2: Complexity Assessment & Parallel Explore **Only execute if Step 2.1 finds no valid package** ```javascript // 2.2.1 Complexity Assessment function analyzeTaskComplexity(taskDescription) { const text = taskDescription.toLowerCase(); if (/architect|refactor|restructure|modular|cross-module/.test(text)) return 'High'; if (/multiple|several|integrate|migrate|extend/.test(text)) return 'Medium'; return 'Low'; } const ANGLE_PRESETS = { architecture: ['architecture', 'dependencies', 'modularity', 'integration-points'], security: ['security', 'auth-patterns', 'dataflow', 'validation'], performance: ['performance', 'bottlenecks', 'caching', 'data-access'], bugfix: ['error-handling', 'dataflow', 'state-management', 'edge-cases'], feature: ['patterns', 'integration-points', 'testing', 'dependencies'], refactor: ['architecture', 'patterns', 'dependencies', 'testing'] }; function selectAngles(taskDescription, complexity) { const text = taskDescription.toLowerCase(); let preset = 'feature'; if (/refactor|architect|restructure/.test(text)) preset = 'architecture'; else if (/security|auth|permission/.test(text)) preset = 'security'; else if (/performance|slow|optimi/.test(text)) preset = 'performance'; else if (/fix|bug|error|issue/.test(text)) preset = 'bugfix'; const count = complexity === 'High' ? 4 : (complexity === 'Medium' ? 3 : 1); return ANGLE_PRESETS[preset].slice(0, count); } const complexity = analyzeTaskComplexity(task_description); const selectedAngles = selectAngles(task_description, complexity); const sessionFolder = `.workflow/active/${sessionId}/.process`; // 2.2.2 Launch Parallel Explore Agents const explorationTasks = selectedAngles.map((angle, index) => Task( subagent_type="cli-explore-agent", run_in_background=false, description=`Explore: ${angle}`, prompt=` ## Task Objective Execute **${angle}** exploration for TDD task planning context. Analyze codebase from this specific angle to discover relevant structure, patterns, and constraints. ## Assigned Context - **Exploration Angle**: ${angle} - **Task Description**: ${task_description} - **Session ID**: ${sessionId} - **Exploration Index**: ${index + 1} of ${selectedAngles.length} - **Output File**: ${sessionFolder}/exploration-${angle}.json ## MANDATORY FIRST STEPS (Execute by Agent) 1. Run: ccw tool exec get_modules_by_depth '{}' (project structure) 2. Run: rg -l "{keyword_from_task}" --type ts (locate relevant files) 3. Execute: cat ~/.ccw/workflows/cli-templates/schemas/explore-json-schema.json (get output schema reference) ## Exploration Strategy (${angle} focus) **Step 1: Structural Scan** (Bash) - get_modules_by_depth.sh -> identify modules related to ${angle} - find/rg -> locate files relevant to ${angle} aspect - Analyze imports/dependencies from ${angle} perspective **Step 2: Semantic Analysis** (Gemini CLI) - How does existing code handle ${angle} concerns? - What patterns are used for ${angle}? - Where would new code integrate from ${angle} viewpoint? **Step 3: Write Output** - Consolidate ${angle} findings into JSON - Identify ${angle}-specific clarification needs ## Expected Output **File**: ${sessionFolder}/exploration-${angle}.json **Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 3, follow schema exactly **Required Fields** (all ${angle} focused): - project_structure: Modules/architecture relevant to ${angle} - relevant_files: Files affected from ${angle} perspective **MANDATORY**: Every file MUST use structured object format with ALL required fields: [{path: "src/file.ts", relevance: 0.85, rationale: "Contains AuthService.login()", role: "modify_target", discovery_source: "bash-scan", key_symbols: ["AuthService", "login"]}] - **rationale** (required): Specific selection basis tied to ${angle} topic (>10 chars, not generic) - **role** (required): modify_target|dependency|pattern_reference|test_target|type_definition|integration_point|config|context_only - **discovery_source** (recommended): bash-scan|cli-analysis|ace-search|dependency-trace|manual - **key_symbols** (recommended): Key functions/classes/types in the file relevant to the task - Scores: 0.7+ high priority, 0.5-0.7 medium, <0.5 low - patterns: ${angle}-related patterns to follow - dependencies: Dependencies relevant to ${angle} - integration_points: Where to integrate from ${angle} viewpoint (include file:line locations) - constraints: ${angle}-specific limitations/conventions - clarification_needs: ${angle}-related ambiguities (options array + recommended index) - _metadata.exploration_angle: "${angle}" ## Success Criteria - [ ] Schema obtained via cat explore-json-schema.json - [ ] get_modules_by_depth.sh executed - [ ] At least 3 relevant files identified with ${angle} rationale - [ ] Patterns are actionable (code examples, not generic advice) - [ ] Integration points include file:line locations - [ ] Constraints are project-specific to ${angle} - [ ] JSON output follows schema exactly - [ ] clarification_needs includes options + recommended ## Output Write: ${sessionFolder}/exploration-${angle}.json Return: 2-3 sentence summary of ${angle} findings ` ) ); // 2.2.3 Generate Manifest after all complete const explorationFiles = bash(`find ${sessionFolder} -name "exploration-*.json" -type f`).split('\n').filter(f => f.trim()); const explorationManifest = { session_id: sessionId, task_description, timestamp: new Date().toISOString(), complexity, exploration_count: selectedAngles.length, angles_explored: selectedAngles, explorations: explorationFiles.map(file => { const data = JSON.parse(Read(file)); return { angle: data._metadata.exploration_angle, file: file.split('/').pop(), path: file, index: data._metadata.exploration_index }; }) }; Write(`${sessionFolder}/explorations-manifest.json`, JSON.stringify(explorationManifest, null, 2)); ``` ### Step 2.3: Invoke Context-Search Agent **Only execute after Step 2.2 completes** ```javascript // Load user intent from planning-notes.md (from Phase 1) const planningNotesPath = `.workflow/active/${sessionId}/planning-notes.md`; let userIntent = { goal: task_description, key_constraints: "None specified" }; if (file_exists(planningNotesPath)) { const notesContent = Read(planningNotesPath); const goalMatch = notesContent.match(/\*\*GOAL\*\*:\s*(.+)/); const constraintsMatch = notesContent.match(/\*\*KEY_CONSTRAINTS\*\*:\s*(.+)/); if (goalMatch) userIntent.goal = goalMatch[1].trim(); if (constraintsMatch) userIntent.key_constraints = constraintsMatch[1].trim(); } Task( subagent_type="context-search-agent", run_in_background=false, description="Gather comprehensive context for TDD plan", prompt=` ## Execution Mode **PLAN MODE** (Comprehensive) - Full Phase 1-3 execution with priority sorting ## Session Information - **Session ID**: ${sessionId} - **Task Description**: ${task_description} - **Output Path**: .workflow/${sessionId}/.process/context-package.json ## User Intent (from Phase 1 - Planning Notes) **GOAL**: ${userIntent.goal} **KEY_CONSTRAINTS**: ${userIntent.key_constraints} This is the PRIMARY context source - all subsequent analysis must align with user intent. ## Exploration Input (from Step 2.2) - **Manifest**: ${sessionFolder}/explorations-manifest.json - **Exploration Count**: ${explorationManifest.exploration_count} - **Angles**: ${explorationManifest.angles_explored.join(', ')} - **Complexity**: ${complexity} ## Mission Execute complete context-search-agent workflow for TDD implementation planning: ### Phase 1: Initialization & Pre-Analysis 1. **Project State Loading**: - Read and parse .workflow/project-tech.json. Use its overview section as the foundational project_context. - Read and parse .workflow/project-guidelines.json. Load conventions, constraints, and learnings into a project_guidelines section. - If files don't exist, proceed with fresh analysis. 2. **Detection**: Check for existing context-package (early exit if valid) 3. **Foundation**: Initialize CodexLens, get project structure, load docs 4. **Analysis**: Extract keywords, determine scope, classify complexity ### Phase 2: Multi-Source Context Discovery Execute all discovery tracks (WITH USER INTENT INTEGRATION): - **Track -1**: User Intent & Priority Foundation (EXECUTE FIRST) - Load user intent (GOAL, KEY_CONSTRAINTS) from session input - Map user requirements to codebase entities (files, modules, patterns) - Establish baseline priority scores based on user goal alignment - Output: user_intent_mapping.json with preliminary priority scores - **Track 0**: Exploration Synthesis (load explorations-manifest.json, prioritize critical_files, deduplicate patterns/integration_points) - **Track 1**: Historical archive analysis (query manifest.json for lessons learned) - **Track 2**: Reference documentation (CLAUDE.md, architecture docs) - **Track 3**: Web examples (use Exa MCP for unfamiliar tech/APIs) - **Track 4**: Codebase analysis (5-layer discovery: files, content, patterns, deps, config/tests) ### Phase 3: Synthesis, Assessment & Packaging 1. Apply relevance scoring and build dependency graph 2. **Synthesize 5-source data**: Merge findings from all sources - Priority order: User Intent > Archive > Docs > Exploration > Code > Web - **Prioritize the context from project-tech.json** for architecture and tech stack 3. **Context Priority Sorting**: a. Combine scores from Track -1 (user intent alignment) + relevance scores + exploration critical_files b. Classify files into priority tiers: - **Critical** (score >= 0.85): Directly mentioned in user goal OR exploration critical_files - **High** (0.70-0.84): Key dependencies, patterns required for goal - **Medium** (0.50-0.69): Supporting files, indirect dependencies - **Low** (< 0.50): Contextual awareness only c. Generate dependency_order: Based on dependency graph + user goal sequence d. Document sorting_rationale: Explain prioritization logic 4. **Populate project_context**: Directly use the overview from project-tech.json 5. **Populate project_guidelines**: Load from project-guidelines.json 6. Integrate brainstorm artifacts (if .brainstorming/ exists, read content) 7. Perform conflict detection with risk assessment 8. **Inject historical conflicts** from archive analysis into conflict_detection 9. **Generate prioritized_context section**: { "prioritized_context": { "user_intent": { "goal": "...", "scope": "...", "key_constraints": ["..."] }, "priority_tiers": { "critical": [{ "path": "...", "relevance": 0.95, "rationale": "..." }], "high": [...], "medium": [...], "low": [...] }, "dependency_order": ["module1", "module2", "module3"], "sorting_rationale": "Based on user goal alignment, exploration critical files, and dependency graph" } } 10. Generate and validate context-package.json with prioritized_context field ## Output Requirements Complete context-package.json with: - **metadata**: task_description, keywords, complexity, tech_stack, session_id - **project_context**: description, technology_stack, architecture, key_components (from project-tech.json) - **project_guidelines**: {conventions, constraints, quality_rules, learnings} (from project-guidelines.json) - **assets**: {documentation[], source_code[], config[], tests[]} with relevance scores - **dependencies**: {internal[], external[]} with dependency graph - **brainstorm_artifacts**: {guidance_specification, role_analyses[], synthesis_output} with content - **conflict_detection**: {risk_level, risk_factors, affected_modules[], mitigation_strategy, historical_conflicts[]} - **exploration_results**: {manifest_path, exploration_count, angles, explorations[], aggregated_insights} - **prioritized_context**: {user_intent, priority_tiers{critical, high, medium, low}, dependency_order[], sorting_rationale} ## Quality Validation Before completion verify: - [ ] Valid JSON format with all required fields - [ ] File relevance accuracy >80% - [ ] Dependency graph complete (max 2 transitive levels) - [ ] Conflict risk level calculated correctly - [ ] No sensitive data exposed - [ ] Total files <= 50 (prioritize high-relevance) ## Planning Notes Record (REQUIRED) After completing context-package.json, append to planning-notes.md: **File**: .workflow/active/${sessionId}/planning-notes.md **Location**: Under "## Context Findings (Phase 2)" section **Format**: ### [Context-Search Agent] YYYY-MM-DD - **Note**: [Brief summary of key findings] Execute autonomously following agent documentation. Report completion with statistics. ` ) ``` ### Step 2.4: Output Verification After agent completes, verify output: ```javascript // Verify file was created const outputPath = `.workflow/active/${sessionId}/.process/context-package.json`; if (!file_exists(outputPath)) { throw new Error("Agent failed to generate context-package.json"); } // Store variables for subsequent phases contextPath = outputPath; // Verify exploration_results included const pkg = JSON.parse(Read(outputPath)); if (pkg.exploration_results?.exploration_count > 0) { console.log(`Exploration results aggregated: ${pkg.exploration_results.exploration_count} angles`); } conflictRisk = pkg.conflict_detection?.risk_level || 'low'; ``` ### TodoWrite Update (Phase 2 in progress - tasks attached) ```json [ {"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"}, {"content": "Phase 2: Context Gathering", "status": "in_progress", "activeForm": "Executing context gathering"}, {"content": " -> Analyze codebase structure", "status": "in_progress", "activeForm": "Analyzing codebase structure"}, {"content": " -> Identify integration points", "status": "pending", "activeForm": "Identifying integration points"}, {"content": " -> Generate context package", "status": "pending", "activeForm": "Generating context package"}, {"content": "Phase 3: Test Coverage Analysis", "status": "pending", "activeForm": "Executing test coverage analysis"}, {"content": "Phase 5: TDD Task Generation", "status": "pending", "activeForm": "Executing TDD task generation"}, {"content": "Phase 6: TDD Structure Validation", "status": "pending", "activeForm": "Validating TDD structure"} ] ``` ### TodoWrite Update (Phase 2 completed - tasks collapsed) ```json [ {"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"}, {"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"}, {"content": "Phase 3: Test Coverage Analysis", "status": "pending", "activeForm": "Executing test coverage analysis"}, {"content": "Phase 5: TDD Task Generation", "status": "pending", "activeForm": "Executing TDD task generation"}, {"content": "Phase 6: TDD Structure Validation", "status": "pending", "activeForm": "Validating TDD structure"} ] ``` ### Step 2.5: Update Planning Notes After context gathering completes, update planning-notes.md with findings: ```javascript // Read context-package to extract key findings const contextPackage = JSON.parse(Read(contextPath)) const conflictRisk = contextPackage.conflict_detection?.risk_level || 'low' const criticalFiles = (contextPackage.exploration_results?.aggregated_insights?.critical_files || []) .slice(0, 5).map(f => f.path) const archPatterns = contextPackage.project_context?.architecture_patterns || [] const constraints = contextPackage.exploration_results?.aggregated_insights?.constraints || [] // Append Phase 2 findings to planning-notes.md Edit(planningNotesPath, { old: '## Context Findings (Phase 2)\n(To be filled by context-gather)', new: `## Context Findings (Phase 2) - **CRITICAL_FILES**: ${criticalFiles.join(', ') || 'None identified'} - **ARCHITECTURE**: ${archPatterns.join(', ') || 'Not detected'} - **CONFLICT_RISK**: ${conflictRisk} - **CONSTRAINTS**: ${constraints.length > 0 ? constraints.join('; ') : 'None'}` }) // Append Phase 2 constraints to consolidated list Edit(planningNotesPath, { old: '## Consolidated Constraints (Phase 4 Input)', new: `## Consolidated Constraints (Phase 4 Input) ${constraints.map((c, i) => `${i + 2}. [Context] ${c}`).join('\n')}` }) ``` **Auto-Continue**: Return to user showing Phase 2 results, then auto-continue to Phase 3. ## Output - **Variable**: `contextPath` (path to context-package.json) - **Variable**: `conflictRisk` (none/low/medium/high) - **File**: `context-package.json` - **TodoWrite**: Mark Phase 2 completed, determine Phase 3 or Phase 4 ## Next Phase Return to orchestrator. Orchestrator continues to [Phase 3: Test Coverage Analysis](03-test-coverage-analysis.md).